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Background: Neonatal sepsis (NNS) is a known cause of morbidity and mortality especially in developing countries. The global resistance scourge may worsen the management outcomes of NNS. This study aims to determine the current profile of bacteriological agents of NNS, their resistance status and associated mortality in our setting.

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Background: Tuberculosis is among the most devastating infectious diseases worldwide. Spinal tuberculosis is not easy to detect at an early stage, which without effective treatment often leads to spinal deformity and spinal cord damage which in turn cause complications such as paraplegia and quadriplegia. In this study, we established a model using three concentrations of bacteria and carried out a comprehensive evaluation of the model by imaging, general observations, and histopathological and bacteriological studies.

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Aim: Community-acquired pneumonia (CAP) significantly contributes to high infant mortality in Kazakhstan and developing effective treatment methods is critical. The aim of this study was to explore the microbiological and immunological characteristics of CAP in vaccinated and unvaccinated paediatric patients.

Methods: The study was carried out in the Regional Children's Clinical Hospital and the research centre of Karaganda Medical University, Republic of Kazakhstan.

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Background: Lower urinary tract disease is a common clinical condition in dogs, usually presenting with dysuria, pollakiuria and haematuria. Diabetes mellitus is a predisposing factor for urinary tract infection in both humans and dogs and does not necessarily present with clinical signs. In this case report, we describe for the first time a case of cystitis glandularis in a dog with diabetes mellitus, associated with Escherichia coli urinary tract infection.

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Successfully treating tuberculosis (TB) could significantly help reduce its spread. The aim of this study was to identify factors associated with successful TB treatment. A retrospective study was conducted in West Nusa Tenggara, Indonesia, using data from the National TB Information System (SITB) covering patients from January 1 to December 31, 2022.

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